MLOps Engineer

Responsibilities

Experience in developing MLOps framework cutting ML lifecycle : model development, training, evaluation, deployment, monitoring including Model Governance

Expert in Azure Databricks, Azure ML, Unity Catalog

Hands-on experience with Azure DevOps, MLOPS CI / CD Pipelines, Python, Git, Docker

Experience in developing standards and practices for MLOPS life cycle

Required Skills

Experience in developing MLOps framework cutting ML lifecycle : model development, training, evaluation, deployment, monitoring including Model Governance

Expert in Azure Databricks, Azure ML, Unity Catalog

Hands-on experience with Azure DevOps, MLOPS CI / CD Pipelines, Python, Git, Docker

Experience in developing standards and practices for MLOPS life cycle

Preferred Skills

Strong understanding of data privacy, compliance, and responsible AI

Azure Data Factory (ADF)

Soft Skill

Excellent communication & stakeholder management skills

Experience working in cross-functional teams (data scientists, platform architects)